Job Description

Title: AI Software Lead Architect - Next-Gen Readiness

Location: Plano, TX or Bellevue, WA (on-site 5 days/week)

Role Overview:
We are looking for a visionary Software Lead Architect to spearhead the evolution of the Veloce platform by integrating next-generation technologies such as Agentic AI, AI/ML, and intelligent automation. This role is critical in shaping the platform's readiness for tomorrow's networks, ensuring scalability, adaptability, and intelligence at its core.

Key Responsibilities:

Technology Strategy & Vision
o Define and drive the architectural roadmap for next-gen capabilities in the platform.
o Evaluate and integrate emerging technologies such as Agentic AI, Generative AI, and advanced ML models.
o Identify innovation opportunities aligned with future network demands (e.g., autonomous networks, edge intelligence, 6G readiness).

Architecture & Platform Design
o Architect modular, scalable, and intelligent systems that can evolve with technological advancements.
o Design AI/ML pipelines, agent-based systems, and data-driven decision-making frameworks.
o Ensure interoperability, performance, and resilience in distributed environments.

Innovation & Prototyping
o Lead rapid prototyping and proof-of-concept initiatives to validate new ideas and technologies.
o Collaborate with research teams and external partners to stay ahead of the curve.

Collaboration & Leadership
o Work closely with product managers, engineering teams, and customer stakeholders to align architecture with business goals.
o Mentor teams on AI/ML best practices, agent-based design, and platform modernization.
o Represent the architecture function in strategic planning and technical governance forums.
________________________________________
Required Qualifications:

Bachelor's or Master's degree in Computer Science, AI, or related field. 8+ years of experience in software architecture, with a strong focus on AI/ML and distributed systems. Proven experience designing and deploying AI/ML solutions in production environments. Deep understanding of Agentic AI concepts, multi-agent systems, and intelligent orchestration. Familiarity with cloud-native architectures, microservices, and event-driven systems.
________________________________________
Preferred Skills:

Experience with LLMs, reinforcement learning, or autonomous agents. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain). Knowledge of network technologies and future trends (e.g., 5G/6G, edge computing). Strong communication and leadership skills with a passion for innovation.
Job Types: Full-time, Contract

Pay: $50.00 - $70.00 per hour

Work Location: In person